Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Generated from Trainer
Eval Results (legacy)
Instructions to use zireael08/logs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zireael08/logs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="zireael08/logs") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("zireael08/logs") model = AutoModelForImageClassification.from_pretrained("zireael08/logs") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- abf81c826516778e0d1d3201165ddaba7e82ccdbe9ba4fecfe7e872b3019c18f
- Size of remote file:
- 5.2 kB
- SHA256:
- a59329c3833ceef25e02a3057cd6a7cff3d8905c772dabca522835eecbd1b79b
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